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Modelling Extortion Rackets Corinna Elsenbroich CRESS, University - PowerPoint PPT Presentation

Modelling Extortion Rackets Corinna Elsenbroich CRESS, University of Surrey CSS, Lucca, September 2014 Moral Point of View Collective Reasoning The Next 10 Min 1. Team Reasoning 2.GLObal Dynamics of Extortion Racket Systems 3.An ABM of Team


  1. Modelling Extortion Rackets Corinna Elsenbroich CRESS, University of Surrey CSS, Lucca, September 2014 Moral Point of View Collective Reasoning

  2. The Next 10 Min 1. Team Reasoning 2.GLObal Dynamics of Extortion Racket Systems 3.An ABM of Team Reasoning in Extortion Rackets 4.Conclusions

  3. 1. Team Reasoning

  4. Game Theory C’s Choice C D C 3,3 0,5 D 5,0 1,1 1,1 R’s Choice Prisoner’s Dilemma Basic Assumptions: • Individuals are rational. • Individuals are rational if they maximise their utility. • Individuals assume the other player(s) are rational. • What is rational for one agent to do depends on what is rational for another agent. • Equilibria are solution to games.

  5. A choice 3,3 0,5 5,0 1,1 The individual lines 3,3 0,5 5,0 1,1 The collective diagonal

  6. T eam Reasoning Bacharach: Team reasoning is triggered by strongly interdependent games. A game is strongly interdependent if a Nash equilibrium is dominated by a Pareto optimal solution. Team reasoning “just happens” when the game is of the right kind, but it is conditional. Rationality is reinterpreted as seeing the collective diagonal in a strongly interdependent game. Sugden: Mutually assured team reasoning 1. (1) I am a member of S. 2. (2) I identify with S and acknowledge U as its objective. 3. (3) In S, there is reciprocal reason to believe that each member of S identifies with S and acknowledges U as the objective of S. 4. (4) In S, there is reciprocal reason to believe that each member of S endorses and acts on mutually assured team reasoning. 5. (5) In S, there is common reason to believe that A uniquely maximizes U. I should choose my component of A. Rationality is a choice to be made given a social group situation.

  7. GLODERS • Underlying dynamics of extortion rackets • Societal conditions for success of extortion rackets • Database of extortion cases in Sicily (Palermo) • Simulation of Extortion Racket Systems (Rome) • Qualitative data analysis of court files (Koblenz) • Theoretical work, scenario building and testing (Surrey) • Stakeholderboard (International Organised Crime Specialists)

  8. Extortion and Extortion Rackets Extortion is the extraction of money/favours from a victim using (the threat of) violence. � An extortion racket is a systematic and continuous extortion of several victims .

  9. Extortion as a Collective Dilemma The best thing for each individual is to pay and thus not to be punished but for everyone around them not to pay (and take the risk of punishment) draining the Mafia of income. The best thing for the group is to not pay the pizzo. . .

  10. Extortion as a Collective Dilemma The best thing for each individual is to pay and thus not to be punished but for everyone around them not to pay (and take the risk of punishment), draining the Mafia of income. The best thing for the group is to not pay the pizzo. . . This makes it a public goods game.

  11. 3. ABM of Extortion Racket Systems

  12. An Existing Model Extorters e x t o r t , p u n i s h p a y Entrepreneurs 13

  13. An Existing Model Extorters e x t o r t , p u n i s h p a y Entrepreneurs Individualist Model 14

  14. Team Reasoning in Extortion Rackets stop paying Extorters e x t o r t , p u n i s h p a y Entrepreneurs understand oneself as a member conceptual change Collective (e.g. Addio Pizzo) 15

  15. Team Reasoning in Extortion Rackets • Extorters • Entrepreneurs: Collectivists or Individualists If punishment-probability * possible-damage < pizzo refuse. If punishment-probability * possible-damage < group-wealth + group-pizzo refuse. • Income, Pizzo , Punishment Cost, Damages (kept constant) • Extorter Radius • Neighbourhood Radius • Group Radius • Number of Entrepreneurs • Ratio of Collectivists and Individualists • Number of Extorters 16

  16. Team Reasoning in Extortion Rackets • Extorters • Entrepreneurs: Collectivists or Individualists If punishment-probability * possible-damage < pizzo refuse. If punishment-probability * possible-damage < group-wealth + group-pizzo refuse • Income, Pizzo , Punishment Cost, Damages (kept constant) • Extorter Radius • Neighbourhood Radius • Group Radius • Number of Entrepreneurs • Ratio of Collectivists and Individualists • Number of Extorters 17

  17. Analysis 0% Collectivists 50% Collectivists 100% Collectivists Increased resistance , High resistance , low Low resistance, low Overall low punishment punishment punishment Increases lead to Increases lead to Increases increases resistance and Extorter Radius resistance increase and resistance only for high punishment increases punishment increase neighbourhood radii but less pronounced Increases lead to Similar but for low Neighbourhood resistance decrease extorter radii increases Increases lead to and punishment lead to increased resistance increase Radius decrease resistance Increases lead to Increases lead to Group Radius n/a increased resistance increased resistance 18

  18. Scenario: Bottom-Up and Top-Down • Bottom-up: Grass Roots Movement of Addio Pizzo Entrepreneurs joining together in no longer paying the pizzo About a 10% point reduction in pizzo payments since 2004 In Model: Increasing numbers of Collectivists � � � � • Top-down: Italian State fighting the Mafia Wealth confiscated Mafioso imprisoned In Model: Decreasing extorter radius (reduced step by step) Mafiosi can no longer punish (taken out one by one)

  19. Typical Runs - Resistance Levels EX 5 NR 5 EX 5 NR 10 EX 10 NR 5 Ex 10 NR 10 GR 5 GR 10 GR 15 GR 20

  20. Typical Runs - Bottom-Up and Top-Down 0% 50% 100% Extorter Radius Constant (10) Neighbourhood Radius 10, Group Radius 10

  21. Typical Runs - Bottom-Up and Top-Down 0% 50% 100% Extorter Radius Constant (10) Extorter Radius Decreasing (20-1) Neighbourhood Radius 10, Group Radius 10

  22. Typical Runs - Bottom-Up and Top-Down 0% 50% 100% Extorter Radius Constant (10) Extorter Radius Decreasing (20-1) Decreasing number of active Mafiosi (1/200 steps) Neighbourhood Radius 10, Group Radius 10

  23. Conclusions and Future Work Conclusions Conceptualising ERS as collective dilemmas can give a societal explanation • Applying Team Reasoning shows that collective solutions are possible • Scenario: Collectives increase resistance • Resistance increases become particularly pronounced when collective action is combined • with judicial measures A decreasing radius curbing extorter territory • Increasing the Mafiosi on strict surveillance so they can extort but no longer punish • � Future Work • Generalise the model to implement Team Reasoning as a genuine decision mechanism ( Collective Reasoning as a Moral Point of View)

  24. Thanks!

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